Myanma Kyat MMK 2013 Conversion Rates

  • Opening Value is 856.144625 MMK per Dollar
  • Closing Value is 988.575025 MMK per Dollar
  • Change in Value during 2013 is 132.4304 which is 15.47%
  • Best Performance is on 2013-01-10 with 852.002500 MMK per Dollar
  • Lowest Performance is on 2013-12-29 with 991.697525 MMK per Dollar
  • Average Value is 933.8112 MMK per Dollar
  • Swing Between the higest and the lowest is 139.6950 per Dollar, that is 16.32% compared to the opening value.

USD to MMK Conversion Rates – 12 months

Date 1 USD =
2013-12-31 988.5750 MMK
2013-11-30 986.6445 MMK
2013-10-31 971.2702 MMK
2013-09-30 971.4930 MMK
2013-08-31 969.4390 MMK
2013-07-31 973.9874 MMK
2013-06-30 976.8785 MMK
2013-05-31 941.7196 MMK
2013-04-30 887.3475 MMK
2013-03-31 881.8941 MMK
2013-02-28 864.9114 MMK
2013-01-31 857.9229 MMK
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      987.5075
02      982.9910
↗4.516, 0.46%
03      982.2874
↗0.704, 0.07%
04      982.0359
↗0.251, 0.03%
05      980.5874
↗1.449, 0.15%
06      982.6773
↘2.090, 0.21%
07      982.2075
↗0.470, 0.05%
08      981.9480
↗0.260, 0.03%
09      982.8750
↘0.927, 0.09%
10      981.3142
↗1.561, 0.16%
11      980.9586
↗0.356, 0.04%
12      982.4317
↘1.473, 0.15%
13      981.3416
↗1.090, 0.11%
14      981.7838
↘0.442, 0.05%
15      981.1160
↗0.668, 0.07%
16      981.3220
↘0.206, 0.02%
17      982.4188
↘1.097, 0.11%
18      984.1040
↘1.685, 0.17%
19      983.4147
↗0.689, 0.07%
20      984.1790
↘0.764, 0.08%
21      984.0226
↗0.156, 0.02%
22      983.2570
↗0.766, 0.08%
23      983.7080
↘0.451, 0.05%
24      986.2960
↘2.588, 0.26%
25      986.3108
↘0.015, 0.00%
26      987.2988
↘0.988, 0.10%
27      989.6925
↘2.394, 0.24%
28      989.7323
↘0.040, 0.00%
29      991.6975
↘1.965, 0.20%
30      988.5338
↗3.164, 0.32%
31      988.5750
↘0.041, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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‘colors’:[”]
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chart.draw(data, options);
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November, 2013

01      972.8067
02      972.7752
↗0.032, 0.00%
03      973.4500
↘0.675, 0.07%
04      971.1300
↗2.320, 0.24%
05      971.0540
↗0.076, 0.01%
06      969.7101
↗1.344, 0.14%
07      975.2788
↘5.569, 0.57%
08      971.3602
↗3.919, 0.40%
09      972.3426
↘0.982, 0.10%
10      972.8290
↘0.486, 0.05%
11      971.5260
↗1.303, 0.13%
12      972.2700
↘0.744, 0.08%
13      969.6941
↗2.576, 0.26%
14      972.1569
↘2.463, 0.25%
15      970.2588
↗1.898, 0.20%
16      971.8800
↘1.621, 0.17%
17      970.6840
↗1.196, 0.12%
18      971.3230
↘0.639, 0.07%
19      971.4900
↘0.167, 0.02%
20      973.1860
↘1.696, 0.17%
21      975.0430
↘1.857, 0.19%
22      976.9542
↘1.911, 0.20%
23      976.9542
→0.000, 0.00%
24      976.9540
↗0.000, 0.00%
25      981.2620
↘4.308, 0.44%
26      981.1460
↗0.116, 0.01%
27      981.5903
↘0.444, 0.05%
28      982.5020
↘0.912, 0.09%
29      986.4725
↘3.970, 0.40%
30      986.6445
↘0.172, 0.02%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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‘colors’:[”]
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chart.draw(data, options);
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October, 2013

01      973.7128
02      968.7403
↗4.972, 0.51%
03      972.3829
↘3.643, 0.38%
04      974.1059
↘1.723, 0.18%
05      973.9787
↗0.127, 0.01%
06      975.2634
↘1.285, 0.13%
07      970.2790
↗4.984, 0.51%
08      968.9011
↗1.378, 0.14%
09      968.2956
↗0.606, 0.06%
10      969.1515
↘0.856, 0.09%
11      969.8941
↘0.743, 0.08%
12      970.1599
↘0.266, 0.03%
13      970.8166
↘0.657, 0.07%
14      973.2170
↘2.400, 0.25%
15      970.8470
↗2.370, 0.24%
16      973.2218
↘2.375, 0.24%
17      970.0451
↗3.177, 0.33%
18      973.9085
↘3.863, 0.40%
19      973.5804
↗0.328, 0.03%
20      974.4190
↘0.839, 0.09%
21      972.9800
↗1.439, 0.15%
22      967.9691
↗5.011, 0.52%
23      970.6134
↘2.644, 0.27%
24      970.3732
↗0.240, 0.02%
25      972.6778
↘2.305, 0.24%
26      973.1383
↘0.461, 0.05%
27      973.4050
↘0.267, 0.03%
28      973.7510
↘0.346, 0.04%
29      972.4390
↗1.312, 0.13%
30      974.2035
↘1.765, 0.18%
31      971.2702
↗2.933, 0.30%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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title: ‘Date’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
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September, 2013

01      970.0890
02      970.2440
↘0.155, 0.02%
03      969.2583
↗0.986, 0.10%
04      969.2246
↗0.034, 0.00%
05      973.1540
↘3.929, 0.41%
06      967.6493
↗5.505, 0.57%
07      967.6493
→0.000, 0.00%
08      965.6562
↗1.993, 0.21%
09      965.3242
↗0.332, 0.03%
10      968.1943
↘2.870, 0.30%
11      966.9151
↗1.279, 0.13%
12      969.9872
↘3.072, 0.32%
13      970.7649
↘0.778, 0.08%
14      971.3692
↘0.604, 0.06%
15      970.0643
↗1.305, 0.13%
16      972.0473
↘1.983, 0.20%
17      972.9089
↘0.862, 0.09%
18      967.9326
↗4.976, 0.51%
19      975.9882
↘8.056, 0.83%
20      971.6644
↗4.324, 0.44%
21      972.9207
↘1.256, 0.13%
22      973.3675
↘0.447, 0.05%
23      974.0780
↘0.710, 0.07%
24      974.0352
↗0.043, 0.00%
25      972.3309
↗1.704, 0.17%
26      973.9971
↘1.666, 0.17%
27      972.3378
↗1.659, 0.17%
28      972.5755
↘0.238, 0.02%
29      972.4240
↗0.151, 0.02%
30      971.4930
↗0.931, 0.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-09-01”),970.089,970.09],[new Date(“2013-09-02”),970.244,970.24],[new Date(“2013-09-03”),969.258,969.26],[new Date(“2013-09-04”),969.225,969.22],[new Date(“2013-09-05”),973.154,973.15],[new Date(“2013-09-06”),967.649,967.65],[new Date(“2013-09-07”),967.649,967.65],[new Date(“2013-09-08”),965.656,965.66],[new Date(“2013-09-09”),965.324,965.32],[new Date(“2013-09-10”),968.194,968.19],[new Date(“2013-09-11”),966.915,966.92],[new Date(“2013-09-12”),969.987,969.99],[new Date(“2013-09-13”),970.765,970.76],[new Date(“2013-09-14”),971.369,971.37],[new Date(“2013-09-15”),970.064,970.06],[new Date(“2013-09-16”),972.047,972.05],[new Date(“2013-09-17”),972.909,972.91],[new Date(“2013-09-18”),967.933,967.93],[new Date(“2013-09-19”),975.988,975.99],[new Date(“2013-09-20”),971.664,971.66],[new Date(“2013-09-21”),972.921,972.92],[new Date(“2013-09-22”),973.368,973.37],[new Date(“2013-09-23”),974.078,974.08],[new Date(“2013-09-24”),974.035,974.04],[new Date(“2013-09-25”),972.331,972.33],[new Date(“2013-09-26”),973.997,974.00],[new Date(“2013-09-27”),972.338,972.34],[new Date(“2013-09-28”),972.576,972.58],[new Date(“2013-09-29”),972.424,972.42],[new Date(“2013-09-30″),971.493,971.49],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
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August, 2013

01      973.8638
02      970.0224
↗3.841, 0.39%
03      970.2590
↘0.237, 0.02%
04      967.6790
↗2.580, 0.27%
05      975.4650
↘7.786, 0.80%
06      973.2280
↗2.237, 0.23%
07      973.6225
↘0.394, 0.04%
08      972.9455
↗0.677, 0.07%
09      973.6253
↘0.680, 0.07%
10      973.5360
↗0.089, 0.01%
11      974.7800
↘1.244, 0.13%
12      973.8540
↗0.926, 0.09%
13      975.0784
↘1.224, 0.13%
14      973.3448
↗1.734, 0.18%
15      971.7185
↗1.626, 0.17%
16      973.6080
↘1.890, 0.19%
17      973.1143
↗0.494, 0.05%
18      973.7630
↘0.649, 0.07%
19      972.8300
↗0.933, 0.10%
20      968.6400
↗4.190, 0.43%
21      973.1260
↘4.486, 0.46%
22      970.5650
↗2.561, 0.26%
23      972.0480
↘1.483, 0.15%
24      971.6920
↗0.356, 0.04%
25      971.2690
↗0.423, 0.04%
26      970.4400
↗0.829, 0.09%
27      968.6728
↗1.767, 0.18%
28      969.8808
↘1.208, 0.12%
29      969.1304
↗0.750, 0.08%
30      969.3691
↘0.239, 0.02%
31      969.4390
↘0.070, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-08-01”),973.864,973.86],[new Date(“2013-08-02”),970.022,970.02],[new Date(“2013-08-03”),970.259,970.26],[new Date(“2013-08-04”),967.679,967.68],[new Date(“2013-08-05”),975.465,975.47],[new Date(“2013-08-06”),973.228,973.23],[new Date(“2013-08-07”),973.623,973.62],[new Date(“2013-08-08”),972.946,972.95],[new Date(“2013-08-09”),973.625,973.63],[new Date(“2013-08-10”),973.536,973.54],[new Date(“2013-08-11”),974.780,974.78],[new Date(“2013-08-12”),973.854,973.85],[new Date(“2013-08-13”),975.078,975.08],[new Date(“2013-08-14”),973.345,973.34],[new Date(“2013-08-15”),971.719,971.72],[new Date(“2013-08-16”),973.608,973.61],[new Date(“2013-08-17”),973.114,973.11],[new Date(“2013-08-18”),973.763,973.76],[new Date(“2013-08-19”),972.830,972.83],[new Date(“2013-08-20”),968.640,968.64],[new Date(“2013-08-21”),973.126,973.13],[new Date(“2013-08-22”),970.565,970.57],[new Date(“2013-08-23”),972.048,972.05],[new Date(“2013-08-24”),971.692,971.69],[new Date(“2013-08-25”),971.269,971.27],[new Date(“2013-08-26”),970.440,970.44],[new Date(“2013-08-27”),968.673,968.67],[new Date(“2013-08-28”),969.881,969.88],[new Date(“2013-08-29”),969.130,969.13],[new Date(“2013-08-30”),969.369,969.37],[new Date(“2013-08-31″),969.439,969.44],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2013

01      973.4888
02      979.9978
↘6.509, 0.67%
03      975.3018
↗4.696, 0.48%
04      982.0719
↘6.770, 0.69%
05      978.3736
↗3.698, 0.38%
06      979.9545
↘1.581, 0.16%
07      980.8846
↘0.930, 0.09%
08      978.3775
↗2.507, 0.26%
09      981.4806
↘3.103, 0.32%
10      970.5085
↗10.972, 1.12%
11      983.0961
↘12.588, 1.30%
12      980.4261
↗2.670, 0.27%
13      982.7538
↘2.328, 0.24%
14      981.7318
↗1.022, 0.10%
15      980.9950
↗0.737, 0.08%
16      982.3020
↘1.307, 0.13%
17      985.9056
↘3.604, 0.37%
18      985.1009
↗0.805, 0.08%
19      985.5618
↘0.461, 0.05%
20      985.1910
↗0.371, 0.04%
21      984.3696
↗0.821, 0.08%
22      986.5763
↘2.207, 0.22%
23      979.6100
↗6.966, 0.71%
24      982.6001
↘2.990, 0.31%
25      976.7228
↗5.877, 0.60%
26      978.2075
↘1.485, 0.15%
27      976.6200
↗1.587, 0.16%
28      976.7949
↘0.175, 0.02%
29      977.9638
↘1.169, 0.12%
30      977.2550
↗0.709, 0.07%
31      973.9874
↗3.268, 0.33%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-07-01”),973.489,973.49],[new Date(“2013-07-02”),979.998,980.00],[new Date(“2013-07-03”),975.302,975.30],[new Date(“2013-07-04”),982.072,982.07],[new Date(“2013-07-05”),978.374,978.37],[new Date(“2013-07-06”),979.955,979.95],[new Date(“2013-07-07”),980.885,980.88],[new Date(“2013-07-08”),978.378,978.38],[new Date(“2013-07-09”),981.481,981.48],[new Date(“2013-07-10”),970.509,970.51],[new Date(“2013-07-11”),983.096,983.10],[new Date(“2013-07-12”),980.426,980.43],[new Date(“2013-07-13”),982.754,982.75],[new Date(“2013-07-14”),981.732,981.73],[new Date(“2013-07-15”),980.995,981.00],[new Date(“2013-07-16”),982.302,982.30],[new Date(“2013-07-17”),985.906,985.91],[new Date(“2013-07-18”),985.101,985.10],[new Date(“2013-07-19”),985.562,985.56],[new Date(“2013-07-20”),985.191,985.19],[new Date(“2013-07-21”),984.370,984.37],[new Date(“2013-07-22”),986.576,986.58],[new Date(“2013-07-23”),979.610,979.61],[new Date(“2013-07-24”),982.600,982.60],[new Date(“2013-07-25”),976.723,976.72],[new Date(“2013-07-26”),978.208,978.21],[new Date(“2013-07-27”),976.620,976.62],[new Date(“2013-07-28”),976.795,976.79],[new Date(“2013-07-29”),977.964,977.96],[new Date(“2013-07-30”),977.255,977.26],[new Date(“2013-07-31″),973.987,973.99],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2013

01      940.9613
02      941.2100
↘0.249, 0.03%
03      940.3550
↗0.855, 0.09%
04      941.6879
↘1.333, 0.14%
05      940.1296
↗1.558, 0.17%
06      939.3478
↗0.782, 0.08%
07      943.3051
↘3.957, 0.42%
08      942.5379
↗0.767, 0.08%
09      945.2839
↘2.746, 0.29%
10      943.7838
↗1.500, 0.16%
11      943.2680
↗0.516, 0.05%
12      942.0056
↗1.262, 0.13%
13      942.3766
↘0.371, 0.04%
14      943.0709
↘0.694, 0.07%
15      943.2364
↘0.165, 0.02%
16      942.7488
↗0.488, 0.05%
17      942.8675
↘0.119, 0.01%
18      943.4395
↘0.572, 0.06%
19      955.2910
↘11.852, 1.26%
20      952.7915
↗2.500, 0.26%
21      963.2749
↘10.483, 1.10%
22      962.6310
↗0.644, 0.07%
23      967.0880
↘4.457, 0.46%
24      963.6400
↗3.448, 0.36%
25      963.9685
↘0.328, 0.03%
26      962.8090
↗1.159, 0.12%
27      966.1471
↘3.338, 0.35%
28      972.5794
↘6.432, 0.67%
29      973.6976
↘1.118, 0.11%
30      976.8785
↘3.181, 0.33%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-06-01”),940.961,940.96],[new Date(“2013-06-02”),941.210,941.21],[new Date(“2013-06-03”),940.355,940.36],[new Date(“2013-06-04”),941.688,941.69],[new Date(“2013-06-05”),940.130,940.13],[new Date(“2013-06-06”),939.348,939.35],[new Date(“2013-06-07”),943.305,943.31],[new Date(“2013-06-08”),942.538,942.54],[new Date(“2013-06-09”),945.284,945.28],[new Date(“2013-06-10”),943.784,943.78],[new Date(“2013-06-11”),943.268,943.27],[new Date(“2013-06-12”),942.006,942.01],[new Date(“2013-06-13”),942.377,942.38],[new Date(“2013-06-14”),943.071,943.07],[new Date(“2013-06-15”),943.236,943.24],[new Date(“2013-06-16”),942.749,942.75],[new Date(“2013-06-17”),942.868,942.87],[new Date(“2013-06-18”),943.440,943.44],[new Date(“2013-06-19”),955.291,955.29],[new Date(“2013-06-20”),952.792,952.79],[new Date(“2013-06-21”),963.275,963.27],[new Date(“2013-06-22”),962.631,962.63],[new Date(“2013-06-23”),967.088,967.09],[new Date(“2013-06-24”),963.640,963.64],[new Date(“2013-06-25”),963.969,963.97],[new Date(“2013-06-26”),962.809,962.81],[new Date(“2013-06-27”),966.147,966.15],[new Date(“2013-06-28”),972.579,972.58],[new Date(“2013-06-29”),973.698,973.70],[new Date(“2013-06-30″),976.879,976.88],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2013

01      890.7970
02      892.7740
↘1.977, 0.22%
03      890.8866
↗1.887, 0.21%
04      891.7879
↘0.901, 0.10%
05      890.8048
↗0.983, 0.11%
06      891.3163
↘0.511, 0.06%
07      895.1025
↘3.786, 0.42%
08      894.7994
↗0.303, 0.03%
09      903.6316
↘8.832, 0.99%
10      899.3054
↗4.326, 0.48%
11      901.1595
↘1.854, 0.21%
12      900.9261
↗0.233, 0.03%
13      903.2825
↘2.356, 0.26%
14      909.9603
↘6.678, 0.74%
15      917.4641
↘7.504, 0.82%
16      919.9845
↘2.520, 0.27%
17      929.5286
↘9.544, 1.04%
18      929.5286
→0.000, 0.00%
19      932.9998
↘3.471, 0.37%
20      932.5735
↗0.426, 0.05%
21      929.9188
↗2.655, 0.28%
22      944.0550
↘14.136, 1.52%
23      943.4979
↗0.557, 0.06%
24      949.2660
↘5.768, 0.61%
25      948.4718
↗0.794, 0.08%
26      949.9550
↘1.483, 0.16%
27      951.8450
↘1.890, 0.20%
28      952.8663
↘1.021, 0.11%
29      944.6985
↗8.168, 0.86%
30      942.1194
↗2.579, 0.27%
31      941.7196
↗0.400, 0.04%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-05-01”),890.797,890.80],[new Date(“2013-05-02”),892.774,892.77],[new Date(“2013-05-03”),890.887,890.89],[new Date(“2013-05-04”),891.788,891.79],[new Date(“2013-05-05”),890.805,890.80],[new Date(“2013-05-06”),891.316,891.32],[new Date(“2013-05-07”),895.103,895.10],[new Date(“2013-05-08”),894.799,894.80],[new Date(“2013-05-09”),903.632,903.63],[new Date(“2013-05-10”),899.305,899.31],[new Date(“2013-05-11”),901.160,901.16],[new Date(“2013-05-12”),900.926,900.93],[new Date(“2013-05-13”),903.283,903.28],[new Date(“2013-05-14”),909.960,909.96],[new Date(“2013-05-15”),917.464,917.46],[new Date(“2013-05-16”),919.985,919.98],[new Date(“2013-05-17”),929.529,929.53],[new Date(“2013-05-18”),929.529,929.53],[new Date(“2013-05-19”),933.000,933.00],[new Date(“2013-05-20”),932.574,932.57],[new Date(“2013-05-21”),929.919,929.92],[new Date(“2013-05-22”),944.055,944.06],[new Date(“2013-05-23”),943.498,943.50],[new Date(“2013-05-24”),949.266,949.27],[new Date(“2013-05-25”),948.472,948.47],[new Date(“2013-05-26”),949.955,949.96],[new Date(“2013-05-27”),951.845,951.85],[new Date(“2013-05-28”),952.866,952.87],[new Date(“2013-05-29”),944.699,944.70],[new Date(“2013-05-30”),942.119,942.12],[new Date(“2013-05-31″),941.720,941.72],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2013

01      881.5641
02      879.9925
↗1.572, 0.18%
03      876.8813
↗3.111, 0.35%
04      874.3663
↗2.515, 0.29%
05      879.0778
↘4.712, 0.54%
06      878.3938
↗0.684, 0.08%
07      878.5488
↘0.155, 0.02%
08      880.0689
↘1.520, 0.17%
09      878.3600
↗1.709, 0.19%
10      883.8796
↘5.520, 0.63%
11      881.7649
↗2.115, 0.24%
12      881.3778
↗0.387, 0.04%
13      881.0728
↗0.305, 0.03%
14      879.2463
↗1.827, 0.21%
15      881.8775
↘2.631, 0.30%
16      878.9758
↗2.902, 0.33%
17      885.3159
↘6.340, 0.72%
18      882.4405
↗2.875, 0.32%
19      883.2396
↘0.799, 0.09%
20      882.5561
↗0.684, 0.08%
21      883.0800
↘0.524, 0.06%
22      884.3513
↘1.271, 0.14%
23      885.8085
↘1.457, 0.16%
24      889.5431
↘3.735, 0.42%
25      892.4559
↘2.913, 0.33%
26      890.4398
↗2.016, 0.23%
27      890.9355
↘0.496, 0.06%
28      889.0675
↗1.868, 0.21%
29      890.2388
↘1.171, 0.13%
30      887.3475
↗2.891, 0.32%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-04-01”),881.564,881.56],[new Date(“2013-04-02”),879.993,879.99],[new Date(“2013-04-03”),876.881,876.88],[new Date(“2013-04-04”),874.366,874.37],[new Date(“2013-04-05”),879.078,879.08],[new Date(“2013-04-06”),878.394,878.39],[new Date(“2013-04-07”),878.549,878.55],[new Date(“2013-04-08”),880.069,880.07],[new Date(“2013-04-09”),878.360,878.36],[new Date(“2013-04-10”),883.880,883.88],[new Date(“2013-04-11”),881.765,881.76],[new Date(“2013-04-12”),881.378,881.38],[new Date(“2013-04-13”),881.073,881.07],[new Date(“2013-04-14”),879.246,879.25],[new Date(“2013-04-15”),881.878,881.88],[new Date(“2013-04-16”),878.976,878.98],[new Date(“2013-04-17”),885.316,885.32],[new Date(“2013-04-18”),882.441,882.44],[new Date(“2013-04-19”),883.240,883.24],[new Date(“2013-04-20”),882.556,882.56],[new Date(“2013-04-21”),883.080,883.08],[new Date(“2013-04-22”),884.351,884.35],[new Date(“2013-04-23”),885.809,885.81],[new Date(“2013-04-24”),889.543,889.54],[new Date(“2013-04-25”),892.456,892.46],[new Date(“2013-04-26”),890.440,890.44],[new Date(“2013-04-27”),890.936,890.94],[new Date(“2013-04-28”),889.068,889.07],[new Date(“2013-04-29”),890.239,890.24],[new Date(“2013-04-30″),887.348,887.35],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2013

01      863.4709
02      864.4160
↘0.945, 0.11%
03      863.9125
↗0.504, 0.06%
04      861.8788
↗2.034, 0.24%
05      864.0614
↘2.183, 0.25%
06      865.8759
↘1.814, 0.21%
07      861.7706
↗4.105, 0.47%
08      867.7526
↘5.982, 0.69%
09      866.5491
↗1.203, 0.14%
10      871.1238
↘4.575, 0.53%
11      866.2125
↗4.911, 0.56%
12      866.7725
↘0.560, 0.06%
13      870.9289
↘4.156, 0.48%
14      870.2563
↗0.673, 0.08%
15      874.2566
↘4.000, 0.46%
16      873.9341
↗0.322, 0.04%
17      876.7025
↘2.768, 0.32%
18      878.4400
↘1.738, 0.20%
19      885.4450
↘7.005, 0.80%
20      881.4823
↗3.963, 0.45%
21      884.8968
↘3.414, 0.39%
22      883.2735
↗1.623, 0.18%
23      883.9868
↘0.713, 0.08%
24      882.8203
↗1.167, 0.13%
25      887.2428
↘4.423, 0.50%
26      883.1950
↗4.048, 0.46%
27      884.3063
↘1.111, 0.13%
28      883.2591
↗1.047, 0.12%
29      881.9010
↗1.358, 0.15%
30      881.9125
↘0.012, 0.00%
31      881.8941
↗0.018, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-03-01”),863.471,863.47],[new Date(“2013-03-02”),864.416,864.42],[new Date(“2013-03-03”),863.913,863.91],[new Date(“2013-03-04”),861.879,861.88],[new Date(“2013-03-05”),864.061,864.06],[new Date(“2013-03-06”),865.876,865.88],[new Date(“2013-03-07”),861.771,861.77],[new Date(“2013-03-08”),867.753,867.75],[new Date(“2013-03-09”),866.549,866.55],[new Date(“2013-03-10”),871.124,871.12],[new Date(“2013-03-11”),866.213,866.21],[new Date(“2013-03-12”),866.773,866.77],[new Date(“2013-03-13”),870.929,870.93],[new Date(“2013-03-14”),870.256,870.26],[new Date(“2013-03-15”),874.257,874.26],[new Date(“2013-03-16”),873.934,873.93],[new Date(“2013-03-17”),876.703,876.70],[new Date(“2013-03-18”),878.440,878.44],[new Date(“2013-03-19”),885.445,885.45],[new Date(“2013-03-20”),881.482,881.48],[new Date(“2013-03-21”),884.897,884.90],[new Date(“2013-03-22”),883.274,883.27],[new Date(“2013-03-23”),883.987,883.99],[new Date(“2013-03-24”),882.820,882.82],[new Date(“2013-03-25”),887.243,887.24],[new Date(“2013-03-26”),883.195,883.20],[new Date(“2013-03-27”),884.306,884.31],[new Date(“2013-03-28”),883.259,883.26],[new Date(“2013-03-29”),881.901,881.90],[new Date(“2013-03-30”),881.913,881.91],[new Date(“2013-03-31″),881.894,881.89],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2013

01      858.7829
02      858.7050
↗0.078, 0.01%
03      858.7525
↘0.048, 0.01%
04      860.4000
↘1.647, 0.19%
05      857.3214
↗3.079, 0.36%
06      859.2751
↘1.954, 0.23%
07      863.7771
↘4.502, 0.52%
08      859.1878
↗4.589, 0.53%
09      860.7005
↘1.513, 0.18%
10      860.6050
↗0.096, 0.01%
11      858.0913
↗2.514, 0.29%
12      857.2450
↗0.846, 0.10%
13      859.3821
↘2.137, 0.25%
14      857.1838
↗2.198, 0.26%
15      858.5709
↘1.387, 0.16%
16      857.8980
↗0.673, 0.08%
17      857.3315
↗0.567, 0.07%
18      858.1128
↘0.781, 0.09%
19      857.5004
↗0.612, 0.07%
20      863.2054
↘5.705, 0.67%
21      859.0273
↗4.178, 0.48%
22      862.5318
↘3.505, 0.41%
23      861.5094
↗1.022, 0.12%
24      861.3795
↗0.130, 0.02%
25      868.7658
↘7.386, 0.86%
26      863.0250
↗5.741, 0.66%
27      863.7299
↘0.705, 0.08%
28      864.9114
↘1.182, 0.14%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-02-01”),858.783,858.78],[new Date(“2013-02-02”),858.705,858.71],[new Date(“2013-02-03”),858.753,858.75],[new Date(“2013-02-04”),860.400,860.40],[new Date(“2013-02-05”),857.321,857.32],[new Date(“2013-02-06”),859.275,859.28],[new Date(“2013-02-07”),863.777,863.78],[new Date(“2013-02-08”),859.188,859.19],[new Date(“2013-02-09”),860.701,860.70],[new Date(“2013-02-10”),860.605,860.61],[new Date(“2013-02-11”),858.091,858.09],[new Date(“2013-02-12”),857.245,857.25],[new Date(“2013-02-13”),859.382,859.38],[new Date(“2013-02-14”),857.184,857.18],[new Date(“2013-02-15”),858.571,858.57],[new Date(“2013-02-16”),857.898,857.90],[new Date(“2013-02-17”),857.332,857.33],[new Date(“2013-02-18”),858.113,858.11],[new Date(“2013-02-19”),857.500,857.50],[new Date(“2013-02-20”),863.205,863.21],[new Date(“2013-02-21”),859.027,859.03],[new Date(“2013-02-22”),862.532,862.53],[new Date(“2013-02-23”),861.509,861.51],[new Date(“2013-02-24”),861.380,861.38],[new Date(“2013-02-25”),868.766,868.77],[new Date(“2013-02-26”),863.025,863.03],[new Date(“2013-02-27”),863.730,863.73],[new Date(“2013-02-28″),864.911,864.91],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2013

01      856.1446
02      858.6895
↘2.545, 0.30%
03      858.9979
↘0.308, 0.04%
04      856.6008
↗2.397, 0.28%
05      856.6159
↘0.015, 0.00%
06      853.9041
↗2.712, 0.32%
07      853.2363
↗0.668, 0.08%
08      857.8943
↘4.658, 0.55%
09      856.1015
↗1.793, 0.21%
10      852.0025
↗4.099, 0.48%
11      856.3239
↘4.321, 0.51%
12      854.8716
↗1.452, 0.17%
13      853.6130
↗1.259, 0.15%
14      856.2438
↘2.631, 0.31%
15      858.7399
↘2.496, 0.29%
16      858.8884
↘0.149, 0.02%
17      858.0900
↗0.798, 0.09%
18      859.0153
↘0.925, 0.11%
19      858.6268
↗0.389, 0.05%
20      859.7614
↘1.135, 0.13%
21      858.5704
↗1.191, 0.14%
22      859.1350
↘0.565, 0.07%
23      858.8680
↗0.267, 0.03%
24      856.6701
↗2.198, 0.26%
25      857.7038
↘1.034, 0.12%
26      857.0008
↗0.703, 0.08%
27      856.6921
↗0.309, 0.04%
28      856.7888
↘0.097, 0.01%
29      857.2741
↘0.485, 0.06%
30      858.0114
↘0.737, 0.09%
31      857.9229
↗0.089, 0.01%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2013-01-01”),856.145,856.14],[new Date(“2013-01-02”),858.690,858.69],[new Date(“2013-01-03”),858.998,859.00],[new Date(“2013-01-04”),856.601,856.60],[new Date(“2013-01-05”),856.616,856.62],[new Date(“2013-01-06”),853.904,853.90],[new Date(“2013-01-07”),853.236,853.24],[new Date(“2013-01-08”),857.894,857.89],[new Date(“2013-01-09”),856.102,856.10],[new Date(“2013-01-10”),852.003,852.00],[new Date(“2013-01-11”),856.324,856.32],[new Date(“2013-01-12”),854.872,854.87],[new Date(“2013-01-13”),853.613,853.61],[new Date(“2013-01-14”),856.244,856.24],[new Date(“2013-01-15”),858.740,858.74],[new Date(“2013-01-16”),858.888,858.89],[new Date(“2013-01-17”),858.090,858.09],[new Date(“2013-01-18”),859.015,859.02],[new Date(“2013-01-19”),858.627,858.63],[new Date(“2013-01-20”),859.761,859.76],[new Date(“2013-01-21”),858.570,858.57],[new Date(“2013-01-22”),859.135,859.14],[new Date(“2013-01-23”),858.868,858.87],[new Date(“2013-01-24”),856.670,856.67],[new Date(“2013-01-25”),857.704,857.70],[new Date(“2013-01-26”),857.001,857.00],[new Date(“2013-01-27”),856.692,856.69],[new Date(“2013-01-28”),856.789,856.79],[new Date(“2013-01-29”),857.274,857.27],[new Date(“2013-01-30”),858.011,858.01],[new Date(“2013-01-31″),857.923,857.92],]);var options = {
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title: ‘Date’
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vAxis: {
title: ‘Conversion Rate’
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lineWidth: 4,
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}